Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)

Krauth, Werner

ISBN 10: 0198515359 / ISBN 13: 9780198515357

Edité par Oxford University Press, 2006

A propos de cet article

Oxford University Press, 2006. Hard cover, first edition. Ex-library copy with the usual markings, otherwise VG condition.

N° de réf. du vendeur SKU1081301

Détails bibliographiques

• Titre: Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
• Éditeur: Oxford University Press
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 0198515359
• ISBN à 13 chiffres: 9780198515357
• Reliure: hardcover
• Édition: First Edition.
• État de l'article: Good
• Poids: 35 onces

A propos de ce titre

Synopsis

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation. Contained within the chapters are in-depth discussions of algorithms, ranging from basic enumeration methods to modern Monte Carlo techniques. The emphasis is on orientation, with discussion of implementation details kept to a minimum. Illustrations, tables and concise printed algorithms convey key information, making the material very accessible. The book is completely self-contained and graphs and tables can readily be reproduced, requiring minimal computer code. Most sections begin at an elementary level and lead on to the rich and difficult problems of contemporary computational and statistical physics. The book will be of interest to a wide range of students, teachers and researchers in physics and the neighbouring sciences.An accompanying CD allows incorporation of the book's content (illustrations, tables, schematic programs) into the reader's own presentations.

Présentation de l'éditeur

This book discusses the computational approach in modern statistical physics in a clear yet accessible way, and works out its intimate relations with other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation. They contain in-depth discussions of algorithms ranging from basic enumeration methods to modern Monte Carlo techniques. The emphasis is on orientation. Discussions of implementation details are kept to a minimum. The book heavily relies on illustrations, tables and concise printed algorithms to convey key information: all the material remains easily accessible. The book is fully self-contained: graphs and tables can be readily reproduced by programming at most a few dozen lines of computer code. Most sections lead from an elementary discussion to the rich and difficult problems of contemporary computational and statistical physics, and will be of interest to a wide range of students, teachers and researchers in physics and the neighboring sciences. An accompanying CD allows to incorporate the layout material (illustrations, tables, schematic programs) into the reader's own presentations.